Beibei Sun
Orcid: 0000-0003-2233-2850
According to our database1,
Beibei Sun
authored at least 24 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis.
IEEE Trans. Ind. Informatics, January, 2024
2023
IV-Net: single-view 3D volume reconstruction by fusing features of image and recovered volume.
Vis. Comput., December, 2023
Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis.
Reliab. Eng. Syst. Saf., December, 2023
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions.
Reliab. Eng. Syst. Saf., September, 2023
J. Digit. Imaging, August, 2023
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery.
Inf. Fusion, July, 2023
Joint Threshold Learning Convolutional Networks for Intelligent Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Instrum. Meas., 2023
Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions.
Reliab. Eng. Syst. Saf., 2023
Extended linear quadratic regulator control and its application in trajectory following control of autonomous vehicles.
Int. J. Model. Identif. Control., 2023
2022
Hierarchical Multiscale Dense Networks for Intelligent Fault Diagnosis of Electromechanical Systems.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Ind. Electron., 2022
Signal Process., 2022
Comparing paper level classifications across different methods and systems: an investigation of Nature publications.
Scientometrics, 2022
Dually attentive multiscale networks for health state recognition of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions.
Reliab. Eng. Syst. Saf., 2022
Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
2021
A novel multi-scale fusion framework for detail-preserving low-light image enhancement.
Inf. Sci., 2021
Multiscale Dense Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearing.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021
2020
How scientific research reacts to international public health emergencies: a global analysis of response patterns.
Scientometrics, 2020
Multi-focus image fusion using learning based matting with sum of the Gaussian-based modified Laplacian.
Digit. Signal Process., 2020
2018
Interdisciplinarity and collaboration: on the relationship between disciplinary diversity in departmental affiliations and reference lists.
Scientometrics, 2018
TTVT: A Two-Tier Voronoi Diagram Based Tracking Algorithm in Wireless Sensor Networks.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018
2017
Interdisciplinarity and collaboration: On the relationship between disciplinary diversity in the references and in the departmental affiliations.
Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017
2016
A Hybrid "Fast-Slow" Convergent Framework for Genetic Algorithm Inspired by Membrane Computing.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016